Quantitative Model Manager
3 weeks ago
The Quantitative Model Manager is responsible for overseeing the development, implementation, and maintenance of data science models that support business decisions. This role ensures compliance with existing policies and procedures, while also identifying opportunities for improvement and implementing changes as needed.
This position will work closely with model development teams, MLOps teams, and compliance functions to ensure that model risk is managed appropriately. The ideal candidate will have a strong background in data science, mathematics, and statistics, as well as experience with data management tools and techniques.
Responsibilities:
- Create, maintain, and update model management processes to support model governance policies.
- Ensure models are being routinely monitored with metrics published, interpreted, and shared.
- Document and meta-data are produced from data ingestion, pre-processing, model building to deployment.
- Establish operating processes and reviews as timely, efficient, and effective.
Requirements:
- Bachelor's degree in Economics, Mathematics, Statistics, Computer Science or other quantitative field.
- Masters Degree in Statistics, Economics, Mathematics, Computer Science.
- 0-2 years experience working with large datasets.
- Experience with source code management tools like git.
- Statistics and Machine Learning Model Governance experience.
What We Offer:
Generous benefits package available on day one including 401K matching, bonding leave for new parents, tuition assistance, training, GM employee auto discount, community service pay and nine company holidays.
Compensation: $80,000 - $120,000 per year.
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